Digital Commons Network^™

Eng 3008-001 Digital Writing And Multimodal Texts, Rachael Ryerson

Fall 2024

No abstract provided.

The Chanticleer, 2025-02-13, Coastal Carolina University

The Chanticleer Student Newspaper

The editorially independent student produced weekly newspaper of Coastal Carolina University.

The Indiana Statesman, February 13, 2025, Indiana State University

Student Newspaper

Scan & Pay: parking payments made easierpayments easier; Department of Biology “3 billion missing birds”; Japanese Club hosts “Chocolate Day”

February 14, 2025, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Vista: February 13, 2025, University Of San Diego

USD Vista (1965-)

No abstract provided.

Kenyon Collegian - February 13, 2025

The Kenyon Collegian

No abstract provided.

Impact Of Drug Addiction On Oral Health: Unveiling The Link Between Substance Abuse, Rahi [email protected], Kamran Awan

Annual Research Symposium

No abstract provided.

The Efficacy Of Inspiratory Muscle Training Post Covid: A Systematic Review, Robert Dekerlegand, Sydney Brannen, Olivia Bunch, Amrit Deo, Erin Dopke, Kayleigh Moreland

Department of Physical Therapy Posters

Introduction

• Fatigue and dyspnea can persist post COVID infection and negatively impact both functional capacity and quality of life (QOL).^1,2
• Residual pulmonary impairments and/or inspiratory muscle dysfunction associated with COVID infection contribute to these symptoms.^2,3
• Ventilatory demands exceeding the capacity of the inspiratory muscles can exacerbate these symptoms accentuating activity limitations that restrict participation in life roles.
• As symptom-limited exercise and QOL are related to inspiratory muscle function post COVID,^4,5 inspiratory muscle training (IMT) may improve rehabilitation outcomes.³
• The purpose of this systematic review was to determine the potential efficacy of IMT in individuals post-COVID.

Towards More Sustainable Oceans: A Review Of The Pressing Challenges Posed By Marine Plastic Litter, Peter Yang

Faculty Scholarship

Marine littering is a global challenge and a significant threat to a sustainable planet, requiring comprehensive and effective mechanisms to address it in a comprehensive manner. This study reports on a bibliometric analysis that has identified the extent to which the topic has been explored in the international literature, by focusing on geographical scope, the emphasis on (micro)plastic litter and on policy measures. Additionally, as a complement to the assessment of the recent literature on marine plastic litter, this study reviews some case studies, identifying some trends on how to cope with this problem. The findings underscore the imperative for …

Arrhythmogenic Right Ventricular Cardiomyopathy: A Comprehensive Review, Taha Shaikh, Darren Nguyen, Jasmine Dugal, Michael Dicaro, Brianna Yee, Nazanin Houshmand, Kachon Lei, Ali Namazi

Department of Internal Medicine Faculty Research

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by structural abnormalities, arrhythmias, and a spectrum of genetic and clinical manifestations. Clinically, ARVC is structurally distinguished by right ventricular dilation due to increased adiposity and fibrosis in the ventricular walls, and it manifests as cardiac arrhythmias ranging from non-sustained ventricular tachycardia to sudden cardiac death. Its prevalence has been estimated to range from 1 in every 1000 to 5000 people, with its large range being attributed to the variability in genetic penetrance from asymptomatic to significant burden. It is even suggested that the prevalence is underestimated, as the presence of genotypic mutations …

Smart Textile Technology For The Monitoring Of Mental Health, Shonal Fernandes, Alberto Ramos Serrano, Mario Vega-Barbas, Carolina García-Vázquez, Fernando Seoane, Iván Pau

Artículos científicos

In recent years, smart devices have proven their effectiveness in monitoring mental health issues and have played a crucial role in providing therapy. The ability to embed sensors in fabrics opens new horizons for mental healthcare, addressing the growing demand for innovative solutions in monitoring and therapy. The objective of this review is to understand mental health, its impact on the human body, and the latest advancements in the field of smart textiles (sensors, electrodes, and smart garments) for monitoring physiological signals such as respiration rate (RR), electroencephalogram (EEG), electrodermal activity (EDA), electrocardiogram (ECG), and cortisol, all of which are …

The Cowl - V. 88 N. 14 - February 13, 2025

The Cowl

The Cowl - student newspaper of Providence College. Vol. 88 No. 14 - February 13, 2025. 20 pages.

Comparison Of Levels Of Usage Of Summit K-12 And Language Acquisition Of Emergent Bilingual Students, Paula Cushanick

Walden Dissertations and Doctoral Studies

School districts are required to identify emergent bilingual (EB) students, provide appropriate bilingual education programs, and assess language acquisition progress to ensure equal educational opportunity. The problem investigated in this study was that, in 2022, only 38% of the EB student population in Southwestern School District (SSD, a pseudonym) demonstrated progress in achieving English language proficiency in the composite scores of the TELPAS assessment that included listening, speaking, reading, and writing language domains. The Summit K-12 computerized intervention program was instituted by SSD to address EB student language development. Guided by Sparrow’s holistic biliteracy framework, the purpose of this quasi-experimental, …

Integrating Postnatal Care Into The Redesign Of Group Care Beyond Birth, Ashley Gresh, Astrid Van Damme, Deborah Lynn Billings Phd, Sharon Schindler Rising, Shaimaa Ibrahim, Abiola Ajibola, Ellen Chirwa, Jennyfer Don-Aki, Nastassia Donoho, Manodj Hindori, Nafisa Jiddawi, Emeka Kanebi, Esnath Kapito, Catherine Kay, Tara Kinra, Vlorian Milliqaj, Bolanle Oyeledun, Marlies E.B. Rijnders, Octavia Wiseman, Ghutai Sadeq Yaqubi, Crystal L. Patil

Faculty Publications

Background

Globally, alarmingly high rates of maternal and infant mortality and morbidity persist. A constellation of health system and social factors contribute to this, including poor quality and barriers to accessing health care, including preventive services. As such, there have been calls for a redesign of maternal and child health (MCH) services. Although group care has primarily been tested in antenatal settings, it offers a promising redesign that optimizes maternal and child health care, survival, and well-being. The purpose of this study was to produce a blueprint of an adapted group care model that integrates postnatal maternal care, well-child care, …

Structure-Activity Relationship Studies Of Dna Methyltransferase 1 Monovalent Degraders, Chao Qian, Youngeun Lee, Yulin Han, Yue Zhong, Jujun Zhou, Joel Hrit, Ling Xie, Qin Chen, H Ümit Kaniskan, Xian Chen, Scott Rothbart, Xiaodong Cheng, Yan Xiong, Jian Jin

Faculty, Staff and Student Publications

DNA methyltransferase 1 (DNMT1), which catalyzes maintenance methylation of hemimethylated DNA during DNA replication, is overexpressed in cancer. Recently, the first-in-class DNMT1-selective noncovalent small-molecule inhibitors, GSK3484862 and GSK3685032, were discovered. These inhibitors were also reported to degrade DNMT1. However, structure–activity relationship (SAR) studies of these monovalent DNMT1 degraders are lacking. Here, we report our SAR studies of this scaffold on degrading DNMT1, which led to the discovery of multiple lead degraders, including compound 4 (MS9024). Compound 4 potently and selectively degraded DNMT1 in multiple cancer cell lines in a concentration-, time-, and proteasome-dependent manner without altering DNMT1 transcription. Further mechanism-of-action …

Successful Posthospitalisation Oncology Workflow Implementing Lace+ Score To Stratify And Reduce Readmissions Within A Safety-Net Hospital, Cindy M Pabon, Janine Wong, Marcela Perez, Jessica Jimenez-Abarca, Lianchun Xiao, Lymesia Jackson, Anne Park, Anjali Lankford, Vinita Akula, Saumil Datar, Taylor Hopper, Yaser Alkhatib, Terri Earles, Tejal Patel

Faculty, Staff and Student Publications

Background: Patients with advanced cancers visit the emergency room and get hospitalised frequently, with potentially half of these visits being avoidable. Our institution provides comprehensive, low-cost cancer treatment to a safety-net population in Texas. We performed a retrospective review of hospital readmission patterns amongst our oncology patients and developed a posthospitalisation workflow to reduce readmissions.

Method: Following discharge, oncology patients were risk stratified based on their Length of stay, Acuity of admission, Charlson comorbidity index score and Emergency department visits+index in the past 6 months. The higher the score, the quicker the outpatient oncology follow-up. In addition to addressing acute …

February 13, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Stochastic Generalization Models Learn To Comprehensively Detect Volatile Organic Compounds Associated With Foodborne Pathogens Via Raman Spectroscopy, Bohong Zhang, Anand K. Nambisan, Abhishek Prakash Hungund, Xavier Jones, Qingbo Yang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Ensuring food safety requires continuous innovation, especially in the detection of foodborne pathogens and chemical contaminants. In this study, we present a system that combines Raman spectroscopy with machine learning (ML) algorithms for the precise detection and analysis of VOCs linked to foodborne pathogens in complex liquid mixtures. A remote fiber-optic Raman probe was developed to collect spectral data from 42 distinct VOC mixtures, representing contamination scenarios with dilution levels ranging from undiluted to highly diluted states. A dataset comprising 1445 Raman spectra was analyzed using classification and regression ML models, including multi-layer perceptron (MLP), random forest, and extreme gradient …

Perspectives Of African American And Hispanic/Latino Individuals On Hiv Molecular Cluster Detection, Maxwell Richardson, Brendan H. Pulsifer, Jane Yoon Scott, David Holland, Eleanor W. Garlow, Pascale Wortley, Daniel Mauck, Jenna Gettings, Valeria Cantos, Masonia Traylor, Eric Rangel, David Folkes, Carlos Saldana

Journal of the Georgia Public Health Association

Background: Responding to HIV clusters detected using molecular data has been shown to reduce transmission and improve testing, treatment, and prevention. However, there are varied opinions about the use of cluster detection activities, and some advocates have raised concerns about patient consent, data security, and the potential for HIV criminalization. Incorporating the perspectives of marginalized populations that are disproportionately affected by HIV is essential to understanding the diversity of those perspectives, yet it is often overlooked in the literature. Thus, our study seeks to highlight the perspectives of Black/African American and Hispanic/Latino individuals in the Southern United States on HIV …

Viscoelastic Protective Armor Liners And Protective Armor, Fatih Dogan, Cody Thomas, Catherine Johnson

Materials Science and Engineering Faculty Research & Creative Works

No abstract provided.

Treatment Of Small Intracranial Aneurysms Using The Smallss Scoring System: A Novel System For Decision Making, Mira Salih, Michael Young, Thomas B. Fodor, Alexander Andreev, Samuel D. Pettersson, Joanna M. Roy, Basel Musmar, Max Shutran, Phillip Taussky, Christopher S. Ogilvy

Department of Neurosurgery Faculty Papers

BACKGROUND: Treatment of unruptured intracranial aneurysms (UIA) less than 7 mm is controversial. We created a scoring system to guide decision making and validated the system utilizing over 700 cases treated with microsurgery or endovascular procedures.

METHODS: The scoring system SMALLSS included Size, (4-7 mm: 1 point, < 3.9 mm: 0 point), Multiple aneurysms (yes: 1, no: 0), Anatomic location (posterior: 1, anterior: 0), Lineage- family history of aneurysm (yes:1, no: 0), Lifetime risk (age < 65: 1, age > 65: 0), Smoking history (yes: 1, no: 0 ), Shape (irregular:1, smooth:0 ). Validation of this system was performed through retrospective review of prospectively maintained data for UIA patients treated between 2014 and 2021. We then performed an external validation of a cohort of 200 small aneurysms < 7 mm treated at a high volume cerebrovascular center.

RESULTS: A total of 1152 cases …

Exploring The Use Of Student-Led Conferences In A Title 1 Elementary School, Camille Renee Harris-Wilmot

Walden Dissertations and Doctoral Studies

Parental engagement is a critical factor in student academic success, yet traditional parent-teacher conferences often fail to achieve meaningful collaboration. This study explored how teachers and parents described the influence of student-led conferences on parental engagement at a public elementary school in southeastern Virginia. Grounded in constructivist theory, particularly the works of Piaget and Vygotsky, the study focused on student-centered learning. A basic qualitative design was employed with purposeful sampling used to recruit 10 teachers and parents with direct experience of student-led conferences. Semistructured interviews were analyzed through open-coding and thematic analysis to identify recurring patterns. Findings revealed that student-led …

Hispanic Family Caregivers’ Experiences With Dementia Patients During The Covid-19 Emergency, Vivian Arroyo

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic significantly impacted caregiving dynamics, particularly for Hispanic family caregivers of dementia patients. This qualitative study explored the experiences, challenges, and coping strategies of these caregivers during the pandemic. The theoretical framework was systems theory. Semistructured interviews were conducted with 12 participants to collect data. Participants were recruited through purposive sampling and responded to open-ended questions regarding their caregiving experiences. The collected data were analyzed using Braun and Clarke’s six-step thematic analysis The findings revealed four themes: (a) caregiving strategies, including time management, collaboration, and reliance on religious faith; (b) self-care experiences, which highlighted the balance between personal …

Affect Regulation And Mortality Risk: The Role Of Allostatic Load, Amanda E. Ng, Tara Gruenewald, Robert-Paul Juster, Claudia Trudel-Fitzgerald

Psychology Faculty Articles and Research

Objective:

Although growing evidence indicates that distinct affect regulation strategies (e.g., positive reappraisal, anger suppression) predict mortality risk, the biological processes involved remain understudied. We investigated the association of various affect regulation exposures with mortality risk while examining the role of allostatic load.

Method:

In 2004-2006, 1,941 participants from the Midlife in the United States longitudinal study completed validated scales assessing use of nine general and emotion-specific regulatory strategies (e.g., denial, anger expression). A standard deviation-based algorithm was also used to characterize how flexibly participants regulate their affect (lower, moderate, or greater variability). Participants further provided data on relevant covariates …

Spectator 2025-02-13, Editors Of The Spectator

The Spectator

No abstract provided.

Plasma Micrornas To Select Optimal Patients For Antibody Production From Anti-Addiction Vaccines, Thomas R Kosten, Amrit Koirala, David A Nielsen, Coreen B Domingo, Ynhi T Thomas, Preethi H Gunaratne, Cristian Coarfa

Faculty, Staff and Students Publications

Background: Cocaine and illicit amphetamines (disguised as “Adderall”) are being laced with fentanyl and producing accidental and intentional fatal overdoses. Vaccines can prevent these overdoses, but 33% of humans generate insufficient anti-drug antibody (AB) levels. Plasma microRNAs (miRs) can be used to predict non-responders. We have plasma stored from 152 cocaine vaccine trial participants following three vaccinations over 9 weeks and examined miRs as potential response biomarkers. Methods: We compared 2517 miRs before anti-cocaine vaccination in participants with the highest (n = 25) to the lowest (n = 23) antibody levels. False Discovery Rates (FDRs) were applied to identify differentially …

Navigating Epstein-Barr Virus (Ebv) And Post-Transplant Lymphoproliferative Disorder (Ptld) In Pediatric Liver Transplantation: Current Knowledge And Strategies For Treatment And Surveillance, Erin Y Chen, Natasha Dilwali, Krupa R Mysore, Sara Hassan, Sara Kathryn Smith, Wikrom Karnsakul

Faculty, Staff and Students Publications

Epstein-Barr virus (EBV) is strongly associated with the development of post-transplant lymphoproliferative disorder (PTLD) in pediatric liver transplant recipients. PTLD is one of the most common malignancies following liver transplantation and is associated with significant morbidity and mortality. Factors such as EBV-serostatus mismatch and prolonged or high levels of immunosuppression impact a patient's risk of developing PTLD. While pre-transplant EBV serological screening and post-transplant monitoring of EBV-DNA levels are strongly recommended, universal guidelines for its prevention and management are lacking. Due to a lack of robust prospective studies, current clinical practices vary widely. The treatment of PTLD typically involves reducing …

Prediction Of Cognitive Conversion Within The Alzheimer’S Disease Continuum Using Deep Learning, Siyu Yang, Xintong Zhang, Xinyu Du, Peng Yan, Jing Zhang, Wei Wang, Jing Wang, Lei Zhang, Huaiqing Sun, Yin Liu, Xinran Xu, Yaxuan Di, Jin Zhong, Caiyun Wu, Jan D Reinhardt, Yu Zheng, Ting Wu

Faculty, Staff and Students Publications

Background: Early diagnosis and accurate prognosis of cognitive decline in Alzheimer's disease (AD) is important to timely assignment to optimal treatment modes. We aimed to develop a deep learning model to predict cognitive conversion to guide re-assignment decisions to more intensive therapies where needed.

Methods: Longitudinal data including five variable sets, i.e. demographics, medical history, neuropsychological outcomes, laboratory and neuroimaging results, from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort were analyzed. We first developed a deep learning model to predicted cognitive conversion using all five variable sets. We then gradually removed variable sets to obtained parsimonious models for four different …

Individual And Community-Level Factors Influencing Hiv Testing Among Malawian Women, Miniratu Coker Lawal

Walden Dissertations and Doctoral Studies

The HIV/AIDS epidemic poses a significant public health challenge in Malawi, where women aged 15-49 years experience a higher HIV prevalence (10.8%) compared to men (7.0%). Despite free testing services, 17% of Malawian women have never been tested for HIV, hindering early diagnosis and treatment that could reduce transmission rates. Using Anderson's framework for health service utilization, this study examined how demographic factors (age, marital status, ethnicity, residence) and socioeconomic factors (education, wealth, employment) influence HIV testing among Malawian women aged 15-49 years. Two research questions guided this investigation: 1) the association between demographic factors and HIV testing after controlling …

Accessing Local Health Programs For Afro-Caribbean Families In The Greater Tampa Bay Area, Michelle Jacqueline Swift

Walden Dissertations and Doctoral Studies

Access to quality healthcare is essential for the well-being of immigrant families, especially Afro-Caribbean immigrants in the Greater Tampa Bay area. Disparities in use and satisfaction with health services are known. Guided by Andersen’s healthcare utilization model, a quantitative cross-sectional design employing multiple linear regression analyzed the relationships between self-reported income, education, years since immigration, and health-seeking behaviors (IVs) and satisfaction with care, measured by the PSQ-18 (DV). This study involved 92 English-speaking Afro-Caribbean migrant families with minors residing in Hillsborough, Pasco, and Pinellas Counties. The IVs did not emerge as significant variables in the model output F(14, 68) = …